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Predicting fermionic densities using a Projected Quantum Kernel method

Fuente: arXiv

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Bibliographic Details
Main Authors:	Perciavalle, Francesco, Plastina, Francesco, Pisarra, Michele, Gullo, Nicola Lo
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Strongly Correlated Electrons Machine Learning
Online Access:	Acceder al recurso
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